Please note: Due to alternative arrangements for teaching and
assessment in place from 18 March 2020 to mitigate against the restrictions in
place due to COVID-19, information shown for 2019/20 may not always be accurate.
Please note: you are viewing unit and programme information
for a past academic year. Please see the current academic year for up to date information.
| Unit name |
Computer Based Modelling 4 |
| Unit code |
MENGM1411 |
| Credit points |
10 |
| Level of study |
M/7
|
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24)
|
| Unit director |
Dr. Renaud-Assemat |
| Open unit status |
Not open |
| Pre-requisites |
None
|
| Co-requisites |
None
|
| School/department |
Department of Mechanical Engineering |
| Faculty |
Faculty of Engineering |
Description including Unit Aims
This part of the course is in two elements. Firstly, the students will be introduced to Matlab through the use of self-guide workbooks and extended exercises problems within a supported-learning environment. The basic concepts of programming in Matlab, including loops, conditional statements, matrix manipulation, function definition and plotting will be covered. This is followed by an extended individual Matlab-based project, during which the student will develop a computer model of an engineering problem. Supporting notes are provided.
Aims:
To understand how to develop a computer model of an engineering system using the Matlab programming package. To increase their ability and confidence in the development of programs to model physical systems.
Intended Learning Outcomes
By the end of the course the student should be able to:
- Computation: Use Matlab to perform arithmetical operations and solve basic mathematical problems (matrices manipulation)
- Visualisation: Display computational results graphically using the Matlab programming package
- Programming: Write functional code using a step-by-step organised process to accomplish specific tasks and model an engineering system (relational and logical operators, conditional statements, and loop structures)
- Find information needed with the online help (looking up for existing functions or features, reviewing functionality)
- Apply problem solving techniques (top-down analysis)
- Use precise, accurate, written language and technical tools such as flow charts, pseudocode to describe a program
Teaching Information
The course will mainly be taught through self-study with supported-learning. There will be one introductory lecture and laboratory classes to assist students with their project and studies.
Assessment Information
Formative Matlab online introductory tutorial (ILO 1-3)
Final project (100%): Matlab code + report (ILO 1-6)
Reading and References
- Hunt, B.R., A Guide to MATLAB: For Beginners & Experienced Users. (2006), 2nd ed., Cambridge University Press. ISBN-10: 0521615658. ISBN-13: 9780521615655. Classmark: QA297 HUN
- Hahn, B.D. & Valentine, D.T., Essential MATLAB for Engineers & Scientists. (2013), 5th ed., Oxford Academic Press. ISBN-10: 0123946131. ISBN-13: 9780123946133. Classmark: QA297 HAH.
- In addition, Matlab's on-line help is extensively used.
